scholarly journals Self-regulated learning, academic achievement and socioeconomic context at the end of primary school

2021 ◽  
Vol 55 (2) ◽  
pp. e1509
Author(s):  
Daniel Trias ◽  
Juan Antonio Huertas ◽  
Cindy Mels ◽  
Ignacio Castillejo ◽  
Valentina Ronqui
Keyword(s):  
Academic Achievement ◽  
Primary Education ◽  
Self Regulation ◽  
School Experience ◽  
Self Regulated Learning ◽  
Socioeconomic Context ◽  
Robust Version ◽  
Robust Tests ◽  
Trimmed Means

The increase of inequalities and the learning crisis due to COVID-19 pandemic has forced to review the role of education in the attainment of skills to learn throughout life. The purpose of this study is to investigate the incidence of the academic achievement on selfregulation strategies (forethought, inhibition and volitional inhibition), considering the socioeconomical context at the end of elementary school. The SRL strategies are assessed, from the perspective of students and teachers, triangulating measurement in different tasks. 67 students in their last year of primary education participated. The SRL measures were compared using robust tests considering high and low academic achievement and low and medium socioeconomic context (robust version of Welch’s test for two groups, Yuen’s test, and two-way ANOVA based on trimmed means and Winsorized variances). The academic achievement affects and significantly predicts the forethought strategy. In the low socioeconomical context, the students with a high academic achievement maximize their SRL. The modulating role of the school experience in self-regulation is discussed.

scholarly journals The Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks

2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel
Keyword(s):  
Problem Solving ◽  
Self Regulation ◽  
Mental Effort ◽  
Future Research ◽  
Task Sequence ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.

Examining the role of passion in university students’ academic emotions, self-regulated learning and well-being

2021 ◽  
pp. 147797142110373
Author(s):  
Anna Sverdlik ◽  
Sonia Rahimi ◽  
Robert J Vallerand
Keyword(s):  
University Students ◽  
Adult Students ◽  
Self Regulation ◽  
Well Being ◽  
Future Research ◽  
Academic Emotions ◽  
Psychological Well Being ◽  
Self Regulated Learning ◽  
Regulated Learning

University students’ passion for their studies has been previously demonstrated to be important for both their academic performance and their personal well-being. However, no studies to date have explored the role of passion for one’s studies on both academic and personal outcomes in a single model. The present research sought to determine the role of passion in adult university students’ self-regulated learning and psychological well-being (Study 1), as well as the process by which passion shapes these outcomes, namely academic emotions, in Study 2. It was hypothesised that harmonious passion would positively predict both self-regulated learning and psychological well-being in Study 1. Furthermore, the mediating role of academic emotions between passion and outcomes was tested using a prospective design over time in Study 2. Results provided support for the proposed model. Implications for future research and practice focusing on the role of passion in facilitating adaptive emotions, use of self-regulation and well-being in adult students are discussed.

scholarly journals The role of classroom management and mastery goal orientation towards student’s self-regulation in learning Mathematics

2019 ◽  
Vol 4 (2) ◽  
pp. 117
Author(s):  
Berliana Henu Cahyani ◽  
Asmadi Alsa ◽  
Neila Ramdhani ◽  
Fakher Nabeel Khalili
Keyword(s):  
Classroom Management ◽  
Goal Orientation ◽  
Mathematics Learning ◽  
Self Regulation ◽  
Sampling Technique ◽  
Mastery Goal Orientation ◽  
Mastery Goal ◽  
Self Regulated Learning ◽  
Learning Mathematics

Mathematics until today is still considered a difficult subject so that it needs to think about appropriate strategies to encourage students to be able to regulate themselves in learning this subject. This study aimed to test empirically the role of classroom management and mastery goal orientation towards self-regulated learning. The participants of the study were 177 students of state high schools in Sleman, who were selected using a purposive sampling technique. The scales used were self-regulation of mathematics learning scale, classroom management scale, and mastery goal orientation scale. The data analysis using two-predictor regression analysis showed that classroom management and mastery goal simultaneously played a significant role by 68.7% (R2=0.687, F (2.177) =191.243, p<0.01). Classroom management predicted self-regulation (β= -0.130, p < 0.01), and so did mastery goal (β= 0.878, p < 0.01). Based on the results of this study, it could be concluded that self-regulation in learning Mathematics can be determined through classroom manage­ment and mastery goals concurrently.

scholarly journals The role of self-control, self-efficacy, metacognition, and motivation in predicting school achievement

Psihologija ◽  
2019 ◽  
Vol 52 (1) ◽  
pp. 35-52
Author(s):  
Vladimir Dzinovic ◽  
Rajka Djevic ◽  
Ivana Djeric
Keyword(s):  
Self Efficacy ◽  
Structural Model ◽  
School Achievement ◽  
Self Regulation ◽  
Self Control ◽  
Future Research ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Eighth Grade Students

Self-control and self-regulated learning refer to those processes and strategies whereby individuals exert agency in facing educational demands. This study tested a structural model which predicts that self-control has direct effect on school achievement, as well as mediated by metacognitive self-regulation, academic self-efficacy, and regulatory motivational styles as the variables related to self-regulated learning. The research was carried out on a stratified random sample of 575 eighth grade students. It was shown that the effect of self-control on achievement is mediated by self-efficacy. In other words, students who have heightened selfcontrol and believe in their own ability to meet school demands will be successful in school regardless of the complexity of their learning or whether they are autonomously motivated. The implications of such a finding were considered, as well as the limitations of the research and the indications for future research.

scholarly journals Self-efficacy, academic motivation, self-regulated learning and academic achievement

2019 ◽  
Vol 5 (2) ◽  
pp. 104
Author(s):  
Mehmed Alafgani ◽  
Eny Purwandari
Keyword(s):  
Academic Achievement ◽  
Self Efficacy ◽  
Structural Equation ◽  
Academic Motivation ◽  
Equation Model ◽  
Study Data ◽  
Self Regulated Learning ◽  
Mediating Role ◽  
Regulated Learning

This study aims to empirically prove that the relationship between self-efficacy, academic motivation, self-regulated learning and academic achievement. In addition, empirically proved the mediating role of self-regulated learning on self-efficacy, academic motivation and student achievement. This study used quantitative expansive method. The sample of this study was 246 students of an Islamic senior high school recruited using census technique; thus, the entire population was used as the sample of the study. Data were collected using a questionnaire and were analyzed using Structural Equation Model (SEM). The results empirically show that there is a relationship between self-efficacy, academic motivation, self-regulated learning and academic achievement. However, there is no relationship between self-regulated learning and academic achievement.

scholarly journals Dominant Goal Orientations Predict Differences in Academic Achievement during Adolescence through Metacognitive Self-Regulation

2016 ◽  
Vol 6 (1) ◽  
pp. 47 ◽  
Author(s):  
Sanne Dekker ◽  
Lydia Krabbendam ◽  
Nikki Lee ◽  
Annemarie Boschloo ◽  
Renate De Groot ◽  
...  
Keyword(s):  
Academic Achievement ◽  
Goal Orientation ◽  
Parental Education ◽  
Self Regulation ◽  
Goal Orientations ◽  
Learning Behaviour ◽  
Different Types ◽  
Work Avoidance ◽  
And Performance

<p>This study investigated whether academic achievement was predicted by the goal which generally drives a student’s learning behaviour. Secondly, the role of metacognitive self-regulation was examined. The dominant goal orientation was assessed using a new method. 735 adolescents aged 10-19 years read vignettes of students that reflect four goal orientations. Participants indicated which student they resembled most, which revealed their dominant goal orientation. Age, sex and level of parental education were controlled for. Results showed that students with motivation goals of the mastery and performance-approach types obtained higher grades than students characterized by the performance-avoidance and work-avoidance goal type. A mediation analysis showed that goal orientations predicted achievement through the level of metacognitive self-regulation. Intrinsically motivated students showed the best metacognitive self-regulation skills of all students, whereas work-avoidant students had the lowest level of self-regulation skills. The scores of students with performance goals fell in-between. The research showed that the higher grades obtained by performance-approach students, compared to performance-avoidant and work-avoidant students, can partially be explained by their higher levels of metacognitive self-regulation. Thus, goal orientation predicted achievement differences through metacognitive self-regulation skills. This suggests that intrinsic motivation and self-regulation skills should ideally be supported in the classroom. Furthermore, it suggests that teachers could use vignettes to distinguish different types of students in order to identify students who are vulnerable to lower academic achievement.</p>

Motivation From a Self-Regulated Learning Perspective: Application to School Psychology

2021 ◽  
pp. 082957352110546
Author(s):  
Aishah Bakhtiar ◽  
Allyson F. Hadwin
Keyword(s):  
School Psychology ◽  
Self Regulation ◽  
Metacognitive Awareness ◽  
Motivational Beliefs ◽  
Focus Attention ◽  
Metacognitive Control ◽  
Academic Tasks ◽  
Self Regulated Learning ◽  
Regulated Learning

Self-regulation of learning involves developing metacognitive awareness (planning, monitoring, and evaluating) of (a) cognition—motivational beliefs, (b) behaviors—persistence, effort, engagement, and (c) affect—enjoyment, interest, and other emotions. Metacognitive awareness creates opportunities to exert metacognitive control as needed, which may involve sustaining or manipulating motivational cognition, behavior, and affect. By adopting a self-regulation perspective, this paper discusses the ways motivation develops within and across academic tasks and situations, as well as the ways learners can be supported to take control of their motivation in those contexts. Applying self-regulation principles in the practice of School Psychology means to consider the role of situation, context, and learners’ socio-historical experiences while empowering learners to focus attention on things they can control.

scholarly journals An Interactive Layers Model of Self-Regulated Learning and Cognitive Load

2020 ◽  
Vol 32 (4) ◽  
pp. 1127-1149
Author(s):  
Joachim Wirth ◽  
Ferdinand Stebner ◽  
Melanie Trypke ◽  
Corinna Schuster ◽  
Detlev Leutner
Keyword(s):  
Working Memory ◽  
Cognitive Load ◽  
Self Regulation ◽  
Sensory Memory ◽  
Long Term Memory ◽  
Term Memory ◽  
Self Regulated Learning ◽  
Regulated Learning

Abstract Models of self-regulated learning emphasize the active and intentional role of learners and, thereby, focus mainly on conscious processes in working memory and long-term memory. Cognitive load theory supports this view on learning. As a result, both fields of research ignore the potential role of unconscious processes for learning. In this review paper, we propose an interactive layers model on self-regulated learning and cognitive load that considers sensory memory, working memory, and long-term memory. The model distinguishes between (a) unconscious self-regulated learning initiated by so-called resonant states in sensory memory and (b) conscious self-regulated learning of scheme construction in working memory. In contrast with conscious self-regulation, unconscious self-regulation induces no cognitive load. The model describes conscious and unconscious self-regulation in three different layers: a content layer, a learning strategy layer, and a metacognitive layer. Interactions of the three layers reflect processes of monitoring and control. We first substantiate the model based on a narrative review. Afterwards, we illustrate how the model contributes to re-interpretation of inconsistent empirical findings reported in the existing literature.

Sign in / Sign up

Export Citation Format

Share Document